Jun Xu is the Director of Jiangsu Key Laboratory of Intelligent Medical Image Computing (IMIC) and the Vice Dean of the School of Future Technology at Nanjing University of Information Science and Technology, China. He had been a postdoctoral scientist and visiting professor at the Department of Biomedical Engineering at Rutgers University and Case Western Reserve University in the United States, respectively. He and his IMIC research group are developing and applying novel quantitative image analysis, natural language processing, signal processing, and machine learning tools for disease prevention, diagnosis, treatment, and prognosis in the context of breast, liver, colorectal, prostate, brain disease, and ophthalmology. His group is also exploring the utility of these methods in studying correlations of disease markers across multiple scales and modalities-- from digital pathology to X-ray, CT, multi-parametric MR images, electronic health records, and biosignals.
Jun Xu is the Director of Jiangsu Key Laboratory of Intelligent Medical Image Computing (IMIC) and the Vice Dean of the School of Future Technology at Nanjing University of Information Science and Technology, China. He had been a postdoctoral scientist and visiting professor at the Department of Biomedical Engineering at Rutgers University and Case Western Reserve University in the United States, respectively. He and his IMIC research group are developing and applying novel quantitative image analysis, natural language processing, signal processing, and machine learning tools for disease prevention, diagnosis, treatment, and prognosis in the context of breast, liver, colorectal, prostate, brain disease, and ophthalmology. His group is also exploring the utility of these methods in studying correlations of disease markers across multiple scales and modalities-- from digital pathology to X-ray, CT, multi-parametric MR images, electronic health records, and biosignals.